Xiaogang Xu's Projects
This is the code and paper for the research project of Stereoscopic Image Quality Assessment
This is the pytorch implementation for AAAI2022 paper "Hierarchical Image Generation via Transformer-Based Sequential Patch Selection"
The code for the paper "Conditional Temporal Variational AutoEncoder for Action Video Prediction“
The project for General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments.
主要是我在学习算法课程时的一些笔记与代码,参考书籍为:1.Introduction to Algorithms (3rd) 2.Introduction to the Design and Analysis of Algorithms 3rd Edition
This is the course when I take in the third year of my college life.
This is a Scientific research project in the Population and development research institute, School Of Public Affairs, ZheJiang University, Hangzhou
This is the project for my course "Bipedal Mobile Robot Technology". The code is mainly written by Python. The Robot which we use for experiment is Nao.
This is match for The 23rd China Conference on Information Retrieval, The title for this match is "chapter sorting based on intelligent questions and answers"
This is the course when I taken in the third year of my college life.
关于 Convex optimization 这本书的阅读
This is the repository for CVPR paper "Domain Adaptive Image-to-image Translation"
I will put my learning process of deep learning into repository which mainly about the computer vision and data mining
Some try on the tensorflow to deal with the problem of deep learning
This is the course when I taken in the third year of my college life.
The implementation of DP3DF
Pytorch implementation for few-shot photorealistic video-to-video translation.
Learn the technology of CUDA and GPU Programming. The main is learn from the book of "CUDA Programming: A Developer's Guide to Parallel Computing with GPUS"
This a project to implement the algorithm of GrabCut
The practice and learn for Hadoop
inference.huggingface
This is the course when I take in the third year of my college life.
This is the code when I take part in the JData which is hosted by JD. My team name is "NESAers". It's my first time to take part in such match which is related to Data mining. The target of this match is to predict the trend of user to see if they will buy or not buy in the following days.
This is some note and code when I learn JavaScript
The main target is to learn how to use the framework of Mxnet on python, matlab and R. The code when I learn will be push.
The code when I practice on Leetcode
This is the document of machine learning and the learning process of mine
This is the source code for the ECCV paper "MTFormer: Multi-Task Learning via Transformer and Cross-Task Reasoning"